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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

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Showing 131–140 of 261 papers

TitleStatusHype
Cybersecurity Anomaly Detection in Adversarial Environments—0
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks—0
A Novel Resampling Technique for Imbalanced Dataset Optimization—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
Sequential Binary Classification for Intrusion Detection—0
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection—0
Sorting out typicality with the inverse moment matrix SOS polynomial—0
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection—0
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